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Josetxu Orrantia; David Muñez; Rosario Sánchez; Laura Matilla – Developmental Science, 2024
Mapping skills between different codes to represent numerical information, such as number symbols (i.e., verbal number words and written digits) and non-symbolic quantities, are important in the development of the concept of number. The aim of the current study is to investigate children's mapping skills by incorporating another numerical code…
Descriptors: Preschool Children, Pattern Recognition, Child Development, Numbers
Meng, Huijuan; Ma, Ye – Educational Measurement: Issues and Practice, 2023
In recent years, machine learning (ML) techniques have received more attention in detecting aberrant test-taking behaviors due to advantages when compared to traditional data forensics methods. However, defining "True Test Cheaters" is challenging--different than other fraud detection tasks such as flagging forged bank checks or credit…
Descriptors: Artificial Intelligence, Cheating, Testing, Information Technology
Rubén Buitrago; Jesús Salinas; Oscar Boude – Knowledge Management & E-Learning, 2024
Design patterns for learning are about articulating, testing and sharing the principles of problem solving in the educational context. In this way, multiple patterns are developed to solve common problems, described in various pattern language formats. Therefore, this work is about characterizing and establishing functional relationships between…
Descriptors: Delphi Technique, Programming Languages, Programming, Computer Software
Guiyun Feng; Honghui Chen – Education and Information Technologies, 2025
Data mining has been successfully and widely utilized in educational information systems, and an important research field has been formed, which is educational data mining. Process mining inherits the characteristics of data mining which can not only use historical data in the system to analyze learning behavior and predict academic performance,…
Descriptors: Educational Research, Artificial Intelligence, Data Use, Algorithms
Alain Kuzniak; Blandine Masselin – Educational Studies in Mathematics, 2024
This paper describes how the notion of the strongly didactic contract can serve to characterize the teaching adopted to implement a task in probability. It is particularly focused on the reality of mathematical work performed by students and teachers. For this research, classroom sessions were developed in an in-service teacher training course…
Descriptors: Mathematics, Learning Theories, Teaching Methods, Teacher Education
Irina Braun; Scott E. Lewis; Nicole Graulich – Chemistry Education Research and Practice, 2025
The ability to reason with representations is pivotal for successful learning in Organic Chemistry and is closely linked to representational competence. Given the visual nature of this discipline, this comprises competency in extracting and processing relevant visual information. With regard to the resonance concept, proficiency in identifying…
Descriptors: Undergraduate Students, Organic Chemistry, Science Instruction, Pattern Recognition
A. Mehdi Riazi; Mohammad Amini Farsani – Language Teaching, 2024
This review of recent scholarship (RRS) paper is a follow-up of the first, published in this journal in 2014. For this RRS paper, we identified and included 304 mixed-methods research (MMR) papers published in 20 top-tier applied linguistics (AL) journals. We used a six-pronged quality and transparency framework to review and analyze the MMR…
Descriptors: Applied Linguistics, Followup Studies, Research Design, Literature Reviews
Ongchoco, Joan Danielle K.; Chun, Marvin M.; Bainbridge, Wilma A. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
Our most moving experiences, the ones that "stick," are hardly ever static but are dynamic, like a conversation, a gesture, or a dance. Previous work has shown robust memory for simple actions (e.g., jumping or turning), but it remains an open question how we remember more dynamic sequences of complex and expressive actions. Separately,…
Descriptors: Dance, Memory, Human Body, Motion
Jan Gunis; L'ubomir Snajder; L'ubomir Antoni; Peter Elias; Ondrej Kridlo; Stanislav Krajci – IEEE Transactions on Education, 2025
Contribution: We present a framework for teachers to investigate the relationships between attributes of students' solutions in the process of problem solving or computational thinking. We provide visualization and evaluation techniques to find hidden patterns in the students' solutions which allow teachers to predict the specific behavior of…
Descriptors: Artificial Intelligence, Educational Games, Game Based Learning, Problem Solving
Cristina Rossi; Ryan T. Roemmich; Amy J. Bastian – npj Science of Learning, 2024
Our nervous system has the remarkable ability to adapt our gait to accommodate changes in our body or surroundings. However, our adapted walking patterns often generalize only partially (or not at all) between different contexts. Here, we sought to understand how the nervous system generalizes adapted gait patterns from one context to another.…
Descriptors: Generalization, Psychomotor Skills, Physical Activities, Pattern Recognition
Chunking versus Transitional Probabilities: Differentiating between Theories of Statistical Learning
Emerson, Samantha N.; Conway, Christopher M. – Cognitive Science, 2023
There are two main approaches to how statistical patterns are extracted from sequences: The transitional probability approach proposes that statistical learning occurs through the computation of probabilities between items in a sequence. The chunking approach, including models such as PARSER and TRACX, proposes that units are extracted as chunks.…
Descriptors: Statistics Education, Learning Processes, Learning Theories, Pattern Recognition
An, Weihua – Sociological Methods & Research, 2023
In this article, I present a new multivariate regression model for analyzing outcomes with network dependence. The model is capable to account for two types of outcome dependence including the mean dependence that allows the outcome to depend on selected features of a known dependence network and the error dependence that allows the outcome to be…
Descriptors: Multivariate Analysis, Regression (Statistics), Models, Correlation
Changqin Huang; Jianhui Yu; Fei Wu; Yi Wang; Nian-Shing Chen – Journal of Computer Assisted Learning, 2024
Background: Investigating emotion sequence patterns in the posts of discussion forums in massive open online courses (MOOCs) holds a vital role in shaping online interactions and impacting learning achievement. While the majority of research focuses on the relationship between emotions and interactions in MOOC forum discussions, research on…
Descriptors: MOOCs, Discussion Groups, Computer Mediated Communication, Learning Processes
Spit, Sybren; Geamba?u, Andreea; van Renswoude, Daan; Blom, Elma; Fikkert, Paula; Hunnius, Sabine; Junge, Caroline; Verhagen, Josje; Visser, Ingmar; Wijnen, Frank; Levelt, Clara C. – Developmental Science, 2023
We present an exact replication of Experiment 2 from Kovács and Mehler's 2009 study, which showed that 7-month-old infants who are raised bilingually exhibit a cognitive advantage. In the experiment, a sound cue, following an AAB or ABB pattern, predicted the appearance of a visual stimulus on the screen. The stimulus appeared on one side of the…
Descriptors: Cognitive Development, Infants, Bilingualism, Cues
Yeni Acosta; Ángel Alsina; Nataly Pincheira – Education and Information Technologies, 2024
This paper provides a longitudinal analysis of the understanding of repetition patterns by 24 Spanish children ages 3, 4 and 5, through representation and the type of justification. A mixed quantitative and qualitative study is conducted to establish bridges between algebraic thinking and computational thinking by teaching repetition patterns in…
Descriptors: Foreign Countries, Early Childhood Education, Preschool Children, Computation